Advertising ML Engineer

GCS Recruitment; Indianapolis (IN); On-site; USD 90,000 - 120,000; Full time

Job summary

GCS Recruitment is seeking an Advertising ML Engineer to join our growing team as a Machine Learning Engineer I. This remote USA role offers early-career professionals a chance to build ML solutions that scale and improve personalization and recommendations.

You will collaborate with data scientists and software engineers to productionize models, build data pipelines, and monitor performance with experiments and A/B tests, while writing clean Python and applying best practices.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• 1–3 years of relevant experience (internships, research, projects, or professional work).
• Proficient in Python.
• Strong ML fundamentals: supervised learning, classification, regression, feature engineering, evaluation.
• Experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with SQL and large datasets.
• Familiar with Git and software development practices.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop, train, and deploy ML models for personalization and recommendations.
• Build scalable data pipelines for feature engineering, model training, evaluation, and inference.
• Collaborate with data scientists and software engineers to productionize research.
• Improve recommendation and ranking models using large-scale data.
• Monitor model performance with experimentation, A/B testing, and data-driven analysis.
• Write clean, maintainable Python code following software engineering best practices.
• Support initiatives that enhance customer engagement and business outcomes through ML solutions.

Job description

Advertising ML Engineer

Remote (USA)

About the Role

We are seeking a talented and motivated Machine Learning Engineer I to join our growing team. This is an exciting opportunity for an early-career professional who is passionate about building machine learning solutions that create meaningful user experiences at scale.

The ideal candidate enjoys solving complex problems, writing production-quality code, and collaborating with cross-functional teams to develop and deploy intelligent systems. You will work closely with data scientists, software engineers, and product teams to build and optimize machine learning models that drive business impact.

Key Responsibilities

• Develop, train, and deploy machine learning models for personalization, recommendations, and customer-focused applications.
• Build scalable data pipelines for feature engineering, model training, evaluation, and inference.
• Collaborate with data scientists and software engineers to transition research and prototypes into production systems.
• Improve recommendation and ranking models using large-scale behavioral and engagement data.
• Monitor and evaluate model performance through experimentation, A/B testing, and data-driven analysis.
• Write clean, maintainable, and efficient Python code following software engineering best practices.
• Support initiatives that enhance customer engagement and business outcomes through machine learning solutions.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.
• 1-3 years of relevant experience, including internships, research, academic projects, or professional experience.
• Strong programming skills in Python.
• Solid understanding of machine learning fundamentals, including:
• Supervised learning
• Classification and regression
• Feature engineering
• Model evaluation and validation
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience working with SQL and large datasets.
• Familiarity with Git and software development best practices.
• Strong analytical and problem-solving skills.

Why Join Us?

• Work on machine learning products that impact large-scale user experiences.
• Collaborate with highly skilled engineers, data scientists, and researchers.
• Gain hands-on experience deploying production-grade machine learning solutions.
• Grow your expertise in modern ML technologies and scalable systems.
• Flexible remote work environment with opportunities for learning and career development.